{"id":"W4245328016","doi":"10.1515/iupac.87.0427","title":"Neurite","year":2016,"lang":"en","type":"dataset","venue":"IUPAC Standards Online","topic":"History and advancements in chemistry","field":"Chemistry","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Canada Research Chairs; University of Toronto","funders":"","keywords":"Glossary; Relation (database); Chemical nomenclature; Computer science; Neuroscience; Psychology; Chemistry; Linguistics; Philosophy; Organic chemistry; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00131214,0.001710019,0.001246987,0.003364046,0.001099219,0.003730489,0.002644788,0.001945329,0.1992767],"category_scores_gemma":[0.01059473,0.0006145419,0.001626473,0.005123357,0.0004244276,0.002649689,0.002453887,0.001845512,0.2781254],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001719928,"about_ca_system_score_gemma":0.003068834,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01436948,"about_ca_topic_score_gemma":0.03011744,"domain_scores_codex":[0.9979804,0.0002944042,0.0003274346,0.0007013105,0.0004596097,0.0002368984],"domain_scores_gemma":[0.9959108,0.0009078092,0.000353234,0.001078014,0.0014534,0.0002968383],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009950645,0.00001700633,0.001002006,0.0007592339,0.00002032455,0.00001803164,0.00002295639,0.0001250349,0.00008822091,0.0008334041,0.9903605,0.006653881],"study_design_scores_gemma":[0.0001034067,0.00001336813,0.001804032,0.0003911733,0.00001585286,0.00004521208,0.00006299216,0.0001651493,0.0002063248,0.001406678,0.9957694,0.00001639042],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.0001323028,0.0001178452,0.0001330396,0.0001316146,0.00006024409,0.0000333199,0.9957176,0.0005815242,0.003092565],"genre_scores_gemma":[0.0004024067,0.0001193088,0.0004996297,0.0001836673,0.0000150679,0.0001149522,0.9961159,0.0001181416,0.002430871],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.1992767,"threshold_uncertainty_score":0,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01265131258974417,"score_gpt":0.3875351079027239,"score_spread":0.3748837953129797,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}